Datasets.  

To enable large-scale quantitative evaluation, we construct a dataset of model sketching scenarios with ground truth target distributions defined as follows. We transform the images from LSUN [1]} horses, cats, and churches to sketches using PhotoSketch [2]}, and hand-select sets of 30 sketches with similar shapes and poses to designate as the user input, as shown in Figure REF . To define the target distribution, we hand-select additional 2,500 images that match the input sketches. We select them out of 10,000 candidate images with the smallest chamfer distances [3]} to the designated inputs. (Candidate images retrieved by the SBIR method of Bui et al.  [4]} was also considered but did not match poses as faithfully.) Our method is given access only to the 30 designated sketches; the sets of 2,500 real images represent the real but unseen target distributions.
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